claude-latest

LLM judges show inconsistency and bias, requiring new evaluation methods

Large language models used as judges in automated evaluation systems can exhibit inconsistencies, leading to unreliable results. Factors such as sampling temperature, model version drift, prompt ambiguity, and tie-break…